Sr Product Manager-technical, Scot Forecasting & Labs

Amazon Amazon · Big Tech · Bellevue, WA · Project/Program/Product Management--Technical

This role is for a Sr. Product Manager-Technical at Amazon, focusing on defining and driving the vision for forecasting products within their supply chain. The role involves partnering with scientists and engineers to build and scale deep learning-based systems, bringing advanced AI/ML technologies like Foundation Models and LLMs from research into production. The primary focus is on shipping AI-powered products that optimize the supply chain.

What you'd actually do

  1. Working backwards from customer problems to define the 3-5 year vision for Forecasting products, and working with scientists and engineering to achieve that vision
  2. Driving strategic communications (e.g. decision narratives, investment proposals)
  3. Communicating, earning trust, and influencing stakeholders from multiple organizations
  4. Working backwards from customers in the supply chain and business units to proactively identify opportunities
  5. Experimenting and scaling new products and models from prototype to production worldwide
  6. Diving into technical solutions and alternatives to understand areas of opportunity, defects, and customer needs

Skills

Required

  • 5+ years of product or program management, product marketing, business development or technology experience
  • Bachelor's degree
  • Experience with feature delivery and tradeoffs of a product
  • Experience owning/driving roadmap strategy and definition
  • Experience with end to end product delivery
  • Experience contributing to engineering discussions around technology decisions and strategy related to a product
  • Experience managing technical products or online services
  • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

Nice to have

  • Experience performing statistical analysis of data using SQL, Excel and other tools
  • Experience in building and driving adoption of new tools

What the JD emphasized

  • state-of-the-art machine learning systems
  • deep learning-based systems
  • advanced science — including Deep Learning, Foundation Models, and Large Language Models

Other signals

  • define and drive the long-term vision for both established and greenfield forecasting products
  • partner closely with scientists and engineers to build state-of-the-art deep learning-based systems
  • bring advanced science — including Deep Learning, Foundation Models, and Large Language Models — out of the lab and into production systems